O44857 AF NFT

Neprilysin-2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5pejynmqazayynm44owbpilmk2kt7xb2egeu7lusgkqkykvygxm/metadata.json
IPFS of structure file: 
bafybeiemaxvfsgyfzkobfxewa6zonqbwt4jgpcuflho43sxlucwuiflpkm/AF-O44857-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x632101649E208e9BB842605138AfB7073cbac29F
First NFT owner address (bech32): 
genesis1vvsszey7yz8fhwzzvpgn3tahqu7t4s5ls0ffza
Current NFT ID #263143 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
263143
Accession (UniProt):
O44857
Name::
Neprilysin-2
Experimental Method:
Predicted structure
Sequence source:
CAENORHABDITIS ELEGANS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT O44857 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O44857|NEPL2_CAEEL Neprilysin-2 OS=Caenorhabditis elegans OX=6239 GN=nep-2 PE=1 SV=2 MRPDEEDGTTKSPGSRWTRIWAIIALILLILFLLVLGAAIYFYINYKDSSDVCLSPGCIKTASVILSSMNSSVDPCDDFYEFACGQWIKGHPIPDDAPSVSNFENLGQDLEFALKELLDENDEPYDYETSAVGKAKYFYNLCLNESEILDNWRTTFDEVVKSFGGWPSLGHQMKPDASIEMLYADMVAKFKADSLFKATVQPDDKNSQRHVLLIDQPQLNLFARDFYVAAENEERMAYLQLIRDVLILLDADRTRATLDAKEIIDFETALANITMADEHRHDIAELYTKITLGEMRRSLPHFNWPLFFNRMFKDLHEKNGKRITFDDNTEVVVYGYEFLRRLDVLIPQYDNRLIVNYLEWCWFFKTMLRDLPDPFALTIFKFYKTLNIMNVQKVRWHGCVTRINSLMPMATSAIYVKNHFDHEAKQQVEEMISLIMESFVDLLLSEDWLTKETKQTAKQKVNEMKRKIGYPDYLNDPAAVNNEYKTFKVYPGHYYQTKFSFYEQYQRDVLERITEAVDRERWVAGAALVNAFYSPNTNEIIFPAGILQPVFYSKDFPSSMNFGGIGVVIGHEITHGFDDRGRLYDNLGNIRQWWDNATISKFEHKAQCIEKQYSSYVLDQINMQINGKSTKGENIADNGGLKQAYRAYKKYEKRHSRPPRLPGVNLTHDQLFFLNYAQIWCGTMNDKEAIRKLRTSEHSPGPIRVKGPLSNSYDFAKAYNCEPGSQMNPREKCRVW